Presentation	2013-04-18 Behavioral Pattern Analysis using Position Logs of Social Media Fumitaka NAKAHARA, Koji KIDA,
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Abstract(in English)	This lecture describes two methods to identify the behavioral patterns of users from position logs of social media. The first method is to extract the place the user frequently visits. The second method is to predict the users' destinations. In general, we can guess the users' behavior using consecutive tracking position logs. But, we cannot easily guess the users' behavior using tracking position logs of social media since position logs intentionally released by a particular user would likely be few in number and sparse. We introduce these methods using actual position logs of social media.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Location-based services / Spatio-temporal data mining
Paper #	IN2013-5
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Committee	IN
Conference Date	2013/4/11(1days)
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Paper Information
Registration To	Information Networks (IN)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Behavioral Pattern Analysis using Position Logs of Social Media
Sub Title (in English)
Keyword(1)	Location-based services
Keyword(2)	Spatio-temporal data mining
1st Author's Name	Fumitaka NAKAHARA
1st Author's Affiliation	Cloud System Research Laboratories, NEC Corporation()
2nd Author's Name	Koji KIDA
2nd Author's Affiliation	Cloud System Research Laboratories, NEC Corporation
Date	2013-04-18
Paper #	IN2013-5
Volume (vol)	vol.113
Number (no)	5
Page	pp.pp.-
#Pages	6
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